Comparison of broad-sense heritability estimates across and within environments for agronomic traits. by Fatima Henkrar (17346528)

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Manhattan and respective-QQ plots for agronomic traits in the 191-wheat association panel using FarmCPU. by Fatima Henkrar (17346528)

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Boxplots summarizing the differences in agronomic traits. by Fatima Henkrar (17346528)

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Principal component analysis of agronomic traits and genotypes. by Fatima Henkrar (17346528)

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Top 20 high-yielding genotypes across the seven environments (t/ha). by Fatima Henkrar (17346528)

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MTAs identified in multiple environments (BLUEs and individual environments) for the five agronomic traits in the association panel of spring bread wheat. by Fatima Henkrar (17346528)

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Geographic locations of the seven experimental stations used in the study. by Fatima Henkrar (17346528)

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Distribution and density of 12,954 high-quality SNPs across the 21 bread wheat chromosomes. by Fatima Henkrar (17346528)

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Descriptive statistics and genetic parameters for agronomic traits across environments. by Fatima Henkrar (17346528)

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Pearson’s correlation matrix among agronomic traits based on BLUEs. by Fatima Henkrar (17346528)

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A 92-year-old female with 80% stenosis of left internal carotid artery received carotid stenting. by Han-Jui Lee (803878)

“…<p>(A) Pre-stenting MR perfusion showed decreased cerebral blood flow in the right hemisphere compared to the left hemisphere. …”

Fig 9 - by Mamatha Garige (10719830)

“…<i>discoideum</i>. (A) <i>D</i>. <i>discoideum</i> cell proliferation was decreased by 60% at the end of 72 hours (doxycycline-induced) <i>gstA2</i>-knockdown cells, whereas (B) overexpression of DdGSTA2 did not significantly affect the proliferation of cells. …”

Protein abundance changes with stage in the glycolysis pathway. by Benjamin A. Neely (625157)

“…Levels of two proteins, PFKP and PKM, were confirmed using IHC staining of stage I ccRCC tissue (other stages were not evaluated by IHC). A representative IHC image is shown for PFKP and PKM along with average staining intensity (H value) ± standard error of a stage I ccRCC TMA. …”

<i>DAPK1</i> Promoter Methylation and Cervical Cancer Risk: A Systematic Review and a Meta-Analysis by Antonella Agodi (638417)

“…The aim of the present study was to carry out a systematic review and a meta-analysis in order to evaluate <i>DAPK1</i> promoter methylation as an epigenetic marker for CC risk.…”

Simplified overview of molecular signalling after sprint exercise. by Hakan Claes Rundqvist (7541837)

“…<p>A selection of stimuli (green–increased and blue—decreased), signalling pathways (red–upregulated and blue–downregulated and downstream biofunctions (yellow) are presented. …”

HHV-6A infection increases glucose metabolism and glycolysis in HSB-2 cells. by Zhisheng Wu (1540864)

“…**p < 0.01, compared with mock infection groups. <b>(C)</b> HHV-6A infection decreased glucose levels in the culture medium of in HSB-2 cells. …”

Pre-incubation of SB105-A10 either with HIV-1_IIIb or HIV-1_ada strains inhibits the viral infectivity in dilution assay. by Isabella Bon (467395)

“…<p>HIV-1 strains were incubated for 1 hour at 37°C with SB105-A10 (20 µg/ml; 4.2 µM). Following this incubation the samples were diluted 50-fold to reduce dendrimer concentrations to a level below that at which SB105-A10 significantly inhibits HIV replication and challenged with activated PBMCs. …”

T Cell Leukemia/Lymphoma 1A is essential for mouse epidermal keratinocytes proliferation promoted by insulin-like growth factor 1 by Antonella Bresin (5819432)

“…Finally, we found TCL1 to act, at least in part, via increasing phospho-ERK1/2 and decreasing phospho-P38 MAPK. Hence, our data demonstrate that regulated levels of <i>Tcl1a</i> are necessary for the correct proliferation and differentiation of the interfollicular KCs.…”

<i>LDLR</i> and <i>PCSK9</i> Are Associated with the Presence of Antiphospholipid Antibodies and the Development of Thrombosis in aPLA Carriers by Eguzkine Ochoa (429972)

“…Expression level study showed significantly decreased expression level of <i>LDLR</i> gene in aPLA carriers (<i>P</i>-value <0.0001; 95%CI 0.16–2.10; SE 0.38–1.27) in comparison to the control group.…”

Correlation between near-source wastewater SARS-CoV-2 detections and national surveillance, using individual daily data points (top row) and a five-day moving average (bottom row). by Jay C. Bullen (10232606)